2.5. Statistical Analysis
Statistical analysis was performed using SPSS 17.0 program (SPSS Inc,
Chicago, IL, USA). Numerical variables were expressed as mean ± standard
deviation, and categorical variables as numbers and percentages. The
normal distribution of the data was evaluated with the
Kolmogorov-Smirnov test. When comparing numerical variables, Student’s
t-test was used for normally distributed data, and the Mann-Whiney U
test for those that did not show a normal distribution. The chi-square
and Fisher’s exact tests were used in the analysis of categorical data.
Univariate and multivariate logistic regression analyses were conducted
to determine the relationship between hydronephrosis and possible
clinical variables. The multivariate logistic regression analysis was
applied to variables with a p value of <0.1 in the univariate
logistic regression analysis. A value of p < 0.05 was
considered statistically significant in all comparisons.